https://www.udemy.com/course/working-remotely-how-to-succeed-while-working-from-home
Find a work life balance and be productive working remotely from a home office even with kids or family during Covid-19
Working from Home Essentials | Working from Home Training
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 2.61 GB
Genre: eLearning Video | Duration: 36 lectures (6 hour, 50 mins) | Language: English
Working from Home Survival Guide | Working from home tips, tricks and key tools
https://www.pluralsight.com/courses/c-working-structures
Structuring a C program well is difficult. In this course, Working with Structures in C, you’ll learn to use structures in your C programs in an effective way. First, you’ll explore the basic use of structures. Next, you’ll discover how to manage structures in memory with pointers. Finally, you’ll learn how to use structures with functions and arrays. When you’re finished with this course, you’ll have the skills and knowledge of C structures needed to produce well-structured and memory-safe C programs.
https://learn.theunraveledacademy.com/course?courseid=saraijacobs_water
Sarai Jacobs here again to talk about water. One of my favorite things to do is finding ways to incorporate movement into my work. There are many ways to do this, but one of my favorites is water. If you follow my work at all, you know that photographing water is one of my go-to’s. I’m going to share all my tips and tricks for capturing water.
This course introduces key concepts to proficiently work with data - data cleaning, preprocessing, manipulation, transformation, and core concepts of data visualization and interpretation. You'll also work through examples with a provided dataset.
Data is everywhere, and every business and organization is trying to use it to their benefit. Knowing how to work with data is a skill that no business professional can afford to neglect. In this course, Working with Data, you’ll gain the ability to interact with a dataset and start your data literacy journey. First, you’ll explore data cleansing and preprocessing. Next, you’ll discover transformations and visualizations. Finally, you’ll learn how to interpret datasets for better decision making. When you’re finished with this course, you’ll have the skills and knowledge of working with data needed to tackle your data analysis work.